Mohak Chadha
Solutions Architect at NVIDIA
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMohak Chadha is a Solutions Architect at NVIDIA with nine years of experience designing and optimizing distributed, cloud-native, and high-performance systems. His background spans academic research and industry roles—from TUM and Intel Labs to Huawei and Firebolt—focusing on serverless computing, straggler mitigation, and scalable federated learning. He combines deep HPC and parallel computing expertise with hands-on engineering (e.g., CUDA-based lane detection and microVM work with Firecracker/gVisor) to bridge research and production. Based in Munich, he has a track record of turning performance and energy-aware research into practical cloud and embedded solutions, and he’s currently applying that to accelerate developer workflows and platform adoption at NVIDIA.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree, Computer Science, 1.6, Master's degree, Computer Science, 1.6 at Technical University MunichPhD in Computer Science (Dr. rer. nat.), PhD in Computer Science (Dr. rer. nat.) at Technical University of Munich
Github Skills (39)
evaluation7
networking7
scale7
operator7
serverless7
nlp6
evaluation-framework6
kubernetes-operator6
container6
golang5
transformer5
natural-language-processing5
machine-learning5
pytorch5
kubernetes5
Programming languages (5)
Github contributions (5)
kky-fury/Lane_Detection
Feb 2017 - Jun 2017
Contributions:157 commits, 150 pushes, 1 branch in 3 months
kky-fury/kky-fury.github.io
Oct 2021 - May 2024
Contributions:75 pushes in 2 years 7 months
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